{"id":"W2796124916","doi":"","title":"Enhanced interface coupling conditions for composite heterogeneous models","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Composite number; Interface (matter); Coupling (piping); Computer science; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002138829,0.0003770254,0.0003841523,0.0002124134,0.0002453318,0.0003032717,0.001054371,0.0003298824,0.00005810226],"category_scores_gemma":[0.0002326771,0.0004586677,0.0001940493,0.0001913141,0.0001693708,0.00008732967,0.0006881976,0.0006854658,0.00005236557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002215258,"about_ca_system_score_gemma":0.00007982757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007783326,"about_ca_topic_score_gemma":0.0001273457,"domain_scores_codex":[0.9978172,0.0003463185,0.0004570342,0.0005864251,0.0003009503,0.0004920813],"domain_scores_gemma":[0.9956288,0.001179108,0.0001190463,0.001545869,0.001335537,0.0001915978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001005517,0.00009813523,0.000003529079,0.0005472767,0.0001704825,0.00000114617,0.002050682,0.906974,0.08341212,0.004684622,0.0009880282,0.001059886],"study_design_scores_gemma":[0.0002076467,2.44126e-7,0.00001158769,0.000753334,0.00002034826,0.000002844278,0.000009914397,0.6434186,0.352336,0.002281389,0.0006802465,0.0002778705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1615541,0.0008015421,0.8269274,0.0003591403,0.0003007369,0.000711471,0.0002265276,0.0008434274,0.008275669],"genre_scores_gemma":[0.9509666,0.000312604,0.04643025,0.00001264198,0.00004837793,0.0004334208,0.0005927737,0.0001430029,0.00106035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7894126,"threshold_uncertainty_score":0.9997865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909421982676269,"score_gpt":0.2587225749028948,"score_spread":0.2396283550761321,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}